\smallskip         \subcaption*{\normalsize Panel C: Urban Women}         \label{table-OLS-married-vs-not-married-panel-c-urban} \vspace{-2ex}         \begin{tabular*}{\hsize}{@{\hskip\tabcolsep\extracolsep\fill}lp{1.1cm}p{1.1cm}p{1.1cm}p{1.1cm}p{1.1cm}p{1.6cm}}          \midrule
                    &\multicolumn{1}{c}{(1)}         &\multicolumn{1}{c}{(2)}         &\multicolumn{1}{c}{(3)}         &\multicolumn{1}{c}{(4)}         &\multicolumn{1}{c}{(5)}         &\multicolumn{1}{c}{(6)}         \\
\midrule
Widow/Separated/Divorced&      -0.005         &                     &                     &       0.003         &                     &                     \\
                    &     (0.012)         &                     &                     &     (0.006)         &                     &                     \\
Widow               &                     &      -0.003         &                     &                     &      -0.001         &                     \\
                    &                     &     (0.012)         &                     &                     &     (0.005)         &                     \\
Separated/Divorced  &                     &                     &      -0.026         &                     &                     &       0.033         \\
                    &                     &                     &     (0.030)         &                     &                     &     (0.027)         \\
\midrule
Observations        &       12589         &       12589         &       12589         &       12605         &       12605         &       12605         \\
\bottomrule
\end{tabular*}
\captionsetup{justification=justified}
\caption*{\small
\textit{Notes:}
OLS
regression.
Data
from
IHDS
2011--12.
\textit{Widow/Separated/Divorced}
is
a
dummy
variable
equal
to
1
if
the
respondent
is
separated,
divorced
or
widow,
and
0
if
the
respondent
is
currently
married.
The
dummy
variables
\textit{Widow}
and
\textit{Separated/Divorced}
are
defined
similarly.
The
data
contain
1053
widows
(of
whom
676
live
in
rural
areas)
and
136
separated/divorced
women
(of
whom
91
live
in
rural
areas).
The
outcome
variable
\textit{Discusses
politics
and
community
with
husband}
is
not
included
in
this
table
as
it
does
not
apply
to
women
who
are
no
longer
married.
All
regressions
include
district
FEs,
height,
age,
education,
parents'
education,
household
caste,
religion.
Regressions
in
Panel
A
include
a
rural
dummy.
Robust
SEs
in
parenthesis.
***$\,p
<
0.01$,
**$\,p
<
0.05$,
*$\,p<0.10$.\looseness=-1}
\end{table}
